Please use this identifier to cite or link to this item:
|Title:||Cooperative spectrum sensing strategies for cognitive radio mesh networks|
cognitive radio (CR)
cooperative spectrum sensing
|Source:||Chen, Q., Motani, M., Wong, W.-C., Nallanathan, A. (2011-02). Cooperative spectrum sensing strategies for cognitive radio mesh networks. IEEE Journal on Selected Topics in Signal Processing 5 (1) : 56-67. ScholarBank@NUS Repository. https://doi.org/10.1109/JSTSP.2010.2060468|
|Abstract:||In this paper, we consider the cooperative spectrum sensing problem for a cognitive radio (CR) mesh network, where secondary users (SUs) are allowed to share the spectrum band which is originally allocated to a primary users' (PUs) network. We propose two new cooperative spectrum sensing strategies, called amplify-and-relay (AR) and detect-and-relay (DR), aiming at improving the detection performance with the help of other eligible SUs so as to agilely vacate the channel to the primary network when the neighboring PUs switch to active state. AR and DR strategies are periodically executed during the spectrum sensing phase which is arranged at the beginning of each MAC frame. Based on AR and DR strategies, we derive the closed-form expressions of false alarm probability and detection probability for both single-relay and multi-relay models, with or without channel state information (CSI). Simulation results show that our proposed strategies achieve better performance than a non-cooperative (or non-relay) spectrum sensing method and an existing cooperative detection method. As expected, we observe that the detection performance improves as the number of eligible relay SUs increases, and furthermore, it is better for the known-CSI case than that of the unknown-CSI case. © 2011 IEEE.|
|Source Title:||IEEE Journal on Selected Topics in Signal Processing|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 6, 2017
WEB OF SCIENCETM
checked on Nov 19, 2017
checked on Dec 10, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.